Learning Role of Facial Marks in Automatic Face Recognition for Forensic Science Applications

Face matching is a very important tool for the forensic science applications. The results of face matching are extensively used in courts as evidence. In forensic science applications, when an image is partially damaged or occluded, some ancillary information like facial marks and gender can be used to enhance the face recognition accuracy. This information coupled with traditional face matcher provides more descriptive evidence and at the same time may speed up the recognition process. This paper proposes a method to utilize facial marks for improving face image matching.